Evidence map›Paper›PMID 22392540›Full record

ArticleMolecular genetics and genomics : MGG2012

A comparative phylogenetic study of genetics and folk music.

Horolma Pamjav, Zoltán Juhász, Andrea Zalán, Endre Németh, Bayarlkhagva Damdin

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Article in Molecular genetics and genomics : MGG, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Music and the Meeting of Human Minds.Frontiers in psychology · 2018
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. The evolutionary roots of creativity: mechanisms and motivations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  16. Defining the biological bases of individual differences in musicality.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Review
  17. The music of the genes.Investigative genetics · 2014
    Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Horolma PamjavDNA Laboratory, Institute of Forensic Medicine, Network of Forensic Science Institutes, Budapest, 1536, Hungary. phorolma@hotmail.com
Zoltán Juhász
Andrea Zalán
Endre Németh
Bayarlkhagva Damdin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer-aided comparison of folk music from different nations is one of the newest research areas. We were intrigued to have identified some important similarities between phylogenetic studies and modern folk music. First of all, both of them use similar concepts and representation tools such as multidimensional scaling for modelling relationship between populations. This gave us the idea to investigate whether these connections are merely accidental or if they mirror population migrations from the past. We raised the question; does the complex structure of musical connections display a clear picture and can this system be interpreted by the genetic analysis? This study is the first to systematically investigate the incidental genetic background of the folk music context between different populations. Paternal (42 populations) and maternal lineages (56 populations) were compared based on Fst genetic distances of the Y chromosomal and mtDNA haplogroup frequencies. To test this hypothesis, the corresponding musical cultures were also compared using an automatic overlap analysis of parallel melody styles for 31 Eurasian nations. We found that close musical relations of populations indicate close genetic distances (<0.05) with a probability of 82%. It was observed that there is a significant correlation between population genetics and folk music; maternal lineages have a more important role in folk music traditions than paternal lineages. Furthermore, the combination of these disciplines establishing a new interdisciplinary research field of "music-genetics" can be an efficient tool to get a more comprehensive picture on the complex behaviour of populations in prehistoric time.

Indexed as

Emigration and ImmigrationGenetics, PopulationMusicAsia, EasternChromosomes, Human, YDNA, MitochondrialEuropeHumansPhylogenyDNA, Mitochondrial

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.